Top-K Miner: top-K identical frequent itemsets discovery without user support threshold.
Saif-Ur RehmanJawad AshrafAsad HabibAbdus SalamPublished in: Knowl. Inf. Syst. (2016)
Keyphrases
- frequent itemsets
- support threshold
- user defined
- itemsets
- association rule mining
- mining frequent itemsets
- frequent itemset mining
- discovery of association rules
- mining algorithm
- association rules
- itemset mining
- condensed representations
- query processing
- minimum support
- interesting itemsets
- data streams
- data structure
- frequent patterns
- uncertain data
- concise representation
- high utility
- frequent item sets
- interesting patterns
- pruning strategy
- mining frequent patterns
- candidate itemsets
- data mining algorithms
- mining association rules
- closed itemsets
- transactional databases
- transaction data
- frequent pattern mining
- query language
- pattern mining
- pattern growth
- emerging patterns
- knowledge discovery
- closed frequent itemsets
- data mining
- data analysis
- apriori algorithm
- pattern discovery
- data types